The Performance Mining Method

Big Data ◽  
2016 ◽  
pp. 181-199
Author(s):  
Stella Pachidi ◽  
Marco Spruit
Keyword(s):  
Data Mining ◽  
Financial Management ◽  
Performance Monitoring ◽  
Software As A Service ◽  
Software Performance ◽  
Mining Method ◽  
Data Mining Techniques ◽  
Software Products ◽  
Software Product ◽  
Operation Knowledge

Software Performance is a critical aspect for all software products. In terms of Software Operation Knowledge, it concerns knowledge about the software product's performance when it is used by the end-users. In this paper the authors suggest data mining techniques that can be used to analyze software operation data in order to extract knowledge about the performance of a software product when it operates in the field. Focusing on Software-as-a-Service applications, the authors present the Performance Mining Method to guide the process of performance monitoring (in terms of device demands and responsiveness) and analysis (finding the causes of the identified performance anomalies). The method has been evaluated through a prototype which was implemented for an online financial management application in the Netherlands.

The Performance Mining Method

2015 ◽  
Vol 6 (1) ◽  
pp. 11-29 ◽  
Author(s):  
Stella Pachidi ◽  
Marco Spruit
Keyword(s):  
Financial Management ◽  
Performance Monitoring ◽  
Software As A Service ◽  
Software Performance ◽  
Mining Method ◽  
Critical Aspect ◽  
Software Products ◽  
Software Product ◽  
Management Application ◽  
Operation Knowledge

Software Performance is a critical aspect for all software products. In terms of Software Operation Knowledge, it concerns knowledge about the software product's performance when it is used by the end-users. In this paper the authors suggest data mining techniques that can be used to analyze software operation data in order to extract knowledge about the performance of a software product when it operates in the field. Focusing on Software-as-a-Service applications, the authors present the Performance Mining Method to guide the process of performance monitoring (in terms of device demands and responsiveness) and analysis (finding the causes of the identified performance anomalies). The method has been evaluated through a prototype which was implemented for an online financial management application in the Netherlands.

scholarly journals K-NN Method for Review Analys Product Accounting Software

2020 ◽  
Vol 5 (2) ◽  
pp. 85-92
Author(s):  
Sucitra Sahara ◽  
Rizqi Agung Permana
Keyword(s):  
Financial Management ◽  
Nearest Neighbor ◽  
Data Sets ◽  
K Nearest Neighbor ◽  
Data Set ◽  
The Public ◽  
Software Products ◽  
Software Product ◽  
Accounting Software ◽  
Selection Stage

Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text.

scholarly journals ANALISIS POLA PERMINTAAN PUBLIKASI DATA BADAN PUSAT STATISTIK MENGGUNAKAN ASSOCIATION RULE APRIORI

2020 ◽  
Vol 7 (2) ◽  
pp. 187
Author(s):  
Farid Ridho ◽  
Fachruddin Mansyur
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Web Usage Mining ◽  
Mining Method ◽  
Data Mining Techniques ◽  
Web Usage ◽  
Usage Patterns ◽  
Mining Association Rule ◽  
The Web

<p><em>BPS is a data provider body in Indonesia. In publishing, BPS uses a variety of media, one of which is the BPS website. To get data through the BPS website, users can visit the website then download the data they need. The services obtained by data users on the BPS website depend on the quality of the website. The better the quality, the better the service experience gained by data users. The method that can be used to improve the quality of a website is the web usage mining method. Web usage mining is the application of data mining techniques on web repositories to study usage patterns. The purpose of this study is to determine the pattern of data publication requests on the BPS website which can later be used as a reference to improve the quality of BPS website services. Based on the results of the study, it was found that data users tend to access the same data with different years simultaneously. For results by grouping data by title without year, obtained quite diverse rules.</em></p><p><em><strong>Keywords</strong></em><em>: </em><em>web usage mining, association rule, apriori</em></p><p><em>BPS merupakan badan penyedia data di Indonesia. Dalam mempublikasikan datanya, BPS menggunakan berbagai media, salah satunya adalah website BPS. Untuk mendapatkan data melalui website BPS, pengguna dapat mengunjungi website kemudian mengunduh data yang mereka butuhkan. Layanan yang didapatkan oleh pengguna data pada website BPS tergantung dari kualitas website tersebut. Semakin baik kualitasnya, semakin baik pula pengalaman pelayanan yang didapatkan oleh pengguna data. Metode yang dapat digunakan untuk meningkatkan kualitas suatu website adalah metode web usage mining. Web usage mining merupakan penerapan tekhnik data mining pada web repositori untuk mempelajari pola penggunaan</em><em>. </em><em>Tujuan dari penelitian ini adalah untuk mengetahui pola permintaan publikasi data pada website BPS yang nantinya dapat digunakan sebagai acuan untuk meningkatkan kualitas layanan website BPS. Berdasarkan hasil penelitian, didapatkan bahwa pengguna data cenderung mengakses data yang sama dengan tahun yang berbeda secara bersamaan. Untuk hasil dengan mengelompokan data berdasarkan judul tanpa tahun, diperoleh rules yang cukup beragam.</em></p><p><em><strong>Kata kunci</strong></em><em>: </em><em>web usage mining, association rule, apriori</em></p>

An Improved Data Mining Method Applied to Enterprise’s Financial

2010 ◽  
Vol 143-144 ◽  
pp. 477-481 ◽  
Author(s):  
Yin Qiu Wang ◽  
Xun Xu
Keyword(s):  
Data Mining ◽  
Economic Efficiency ◽  
Financial Management ◽  
Business Management ◽  
Financial Statements ◽  
Experimental Results ◽  
Enterprise Management ◽  
Mining Method ◽  
The Core ◽  
Data Mining Method

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. The financial management of enterprise management is an important component of the work is the core of enterprise management, improve business management and enhance the economic efficiency of enterprises is very important role. This paper proposes an improved data mining method to enhance the capability of exploring valuable information from financial statements. Experimental results indicate that this proposed method significantly improves the performance.

scholarly journals DESIGN OF DATA MINING METHOD IN MAKING INTELLIGENT RESULTS REPORT TO PREVENT CRIMINAL ACTS OF TERRORISM IN THE SEMARANG IMMIGRATION OFFICE

2020 ◽  
Vol 2 (2) ◽  
pp. 67-81
Author(s):  
Y. Edo Budi Prasetyo
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Rapid Development ◽  
Active Role ◽  
The United States ◽  
Mining Method ◽  
Data Mining Techniques ◽  
Reduction Techniques ◽  
Cyber Intelligence ◽  
Using Data

The events of September 11 in the United States changed the world's understanding of terrorism. Terrorism is now understood as a transnational event. Countries in the world are trying to ratify legal instruments on the prevention and suppression of terrorism. Indonesia as a country that requires income from international migration events requires immigration to play an active role in preventing terrorism. With the rapid development of technology, data mining techniques on social media can be utilized to carry out cyber intelligence. This study aims to determine data mining techniques on social media twitter to prevent terrorism. This research uses descriptive qualitative research methods with the help of the socio-psychological narcissistic theory, intelligence, and data mining. The analysis was performed using data reduction techniques. This study will explain how data mining techniques on social media can be used to create immigration intelligence reports. This research is expected to be applied to the making of daily intelligence reports at the Semarang Immigration Office.  

Sign in / Sign up

Export Citation Format

Share Document